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(EViews10): VECM and 3-Ways Causality Checks (2) #var #vecm #causality #granger #wald #Johansen

Frames (EViews10): VECM and 3-Ways Causality Checks (2) #var #vecm #causality #granger #wald #Johansen

Description (EViews10): VECM and 3-Ways Causality Checks (2) #var #vecm #causality #granger #wald #Johansen

Comments (EViews10): VECM and 3-Ways Causality Checks (2) #var #vecm #causality #granger #wald #Johansen

YouTube recently changed the way my content will be monetised My channel now needs 1,000 subscribers So it would be amazing if you show your support by both watching my videos and subscribing to my channel if you haven’t done so already Monetising my videos allows me to invest back into the channel with some new equipment so this small gesture from you will be extremely huge for me Many thanks for your support…CrunchEconometrix loves to teach, support my Channel with your subscription and sharing my videos with your cohorts Comment from : @CrunchEconometrix

Thank you soo much Comment from : @Amazongadgets443

hi, greetings from Chile, Does the ect have to be negative? Comment from : @paolomaregatti7212

Very interesting video, But the vecm system use the same ect(-1)(of the first equation) in the the three estimated equation, which gives inaccurate results For this reason, the vecm model must be re-estimated by changing the dependent variable each time, because whenever the dependent variable changes, we get its ect(-) And we take only the first equation each time to test the long-run and the short-run causality Comment from : @kamelakriche6506

Hi! Thanks for your work! brI have a question: How to get vecm long run p-value ? brI know how to get for the short run So, thanks for helping! Comment from : @delphinehounye4328

Thank you ma'am 😊 Comment from : @chandnirana369

what does it mean if i have only 2 variables which is farmgate and retail i used retail as the left hand variable the ect for retail is significant and negative but the ect for farmgate is significant but non negative how do i interpret this? Comment from : @samfisher1250

Madam, do we need to revert the sign of short-run coefficients while interpreting them? Comment from : @sibykm

Ma, please how do i interprete my VECM when i have 2 cointegrating equation? Do i just interprete the first cointegrating equation Comment from : @omogbehinremilekunn

how to determine the direction(bidirectional, unidirectional) of causality throughbr VECM Comment from : @NehaRajput-tv5op

So if the coefficient is negative we interpret this as positive? Comment from : @Davidsiregar88899

Your explanation is very easy to understand Please carry on The good job Comment from : @asfiabinteosman5303

What is the implication of r squared in VECM? Comment from : @jananiravinag

Hi madam I tried VECM and i have 3 cointegrating equation Would you recommend using 1 or 3 for VECM Because the result is different in the coefficients when i do OLS on the proc equarion Comment from : @limwenhao1999

In the long run you reverse the signs while interpreting What about the signs in the short run below? Comment from : @ladymelodi

I appreciate your efforts thank you very much Comment from : @ladymelodi

Madam, in the VECM dialog box in Eviews, why we need to keep 1 in the cointegrating equation , even though we may get more than one cointegrating equation using Johansen Cointegration Test Comment from : @mkjoshi21

Thank you for all the videos, they have been very useful for my thesis I have a question, how would you interpret the result if the independent variable is not in form of log, for example if it was PCE and not LNPCE? - How would you interpret the PCE in relation to LNPDI ? Comment from : @poojakumar4819

hello mam, whenever i calculate VECM , it shows insufficient number of observations kindly guide me johansen countegration showing 5 cointegrated equations Comment from : @anupamsabharwal4385

thank u very much this was so helpful Comment from : @ntirabampadesire8712

Good Day Dr, can I use this method for panel data? Comment from : @nomaswazi_tshabalala

when i am running VECM eviews showing error of insufficient number of observations kindly guide me Comment from : @anupamsabharwal4385

Good evening, lam Ibinabo from Port Harcourt I want to know if I can get access to an Online diploma programme with you on econometrics Comment from : @ibiagolikaibinabo5571

Hello Dear , you are great as always brOne question , If i want to run granger causality test between two variables One is stationary at level and one is stationary at first level Shall i take first difference for both of them or only one ? Comment from : @ahmadz113

@CrunchEconometrix Sir, from the regression above, what would be the estimated model equation with only significant terms? Comment from : @dylan2859

Port Harcourt , Rivers State, Nigeria Comment from : @ibiagolikaibinabo5571

Good work madam, I have accessed some of your videos and say you have doing a great job Please I am interested in accessing all you have in E-views possibly from simple regression, descriptive statistics, unit root, co integration, vecm, var, bounds test, and other necessary test to diagnose test if I can access all of your packages I will be greatful Comment from : @ibiagolikaibinabo5571

thank you so much ma please, what is the rule of thumb for rejecting the null hypothesis in the long-run causal effect, (for example, reject null when p value is less than or equal to or reject null when p value is greater than or equal to ) thank you ma Comment from : @doyinsolagbemisola8940

Hi Dr, thank you for your videos, they do help me a lot I have a question about the short run casual effect analysis Simply, in your video, C(3) only correspond to DLnPCE(-1) so that you can only analyze the P value of C(3) But what if C(3) correspond to DLnPCE(-1) with prob 015 but C(4) correspond to DLnPCE(-2) with prob 000? (Assume my optimal lag is 3) Comment from : @ethancheng7565

Hello ma'am, the significant value usually is lower than 5 My result shows the p-value is 07 Can I set the critical value at 10? Thanks Comment from : @Wendy-kr7dr

hi Dr, it's me againbrbrbrmay i know why is the long run coefficient intepreted inversely here? Comment from : @meditatewithme4933

Thank you very much for your best analysis My question is how we define the sign of short term causality? Do we still change the negative coefficient to positive and positive to negative when we interpret? Comment from : @kokobeseyoum2040

Thanks from Bangladesh Comment from : @ti_jaheed

Hello miss i'm working on granger causality test (pairwise granger causality test) between exchange rate and international reserves so I found a unidirectional relationship from the exchange rate to the international reserves only at lag 8 how can we interpret it? thank you in advance Comment from : @souayehsirine1376

How can i interpret the significativity of my variable by the result brof test VECM ?brother , i can't interpret the sgnificativity of independents variables according to this method ?brwhat's the interpretation of non significative impact of the ECT according to the result of test VECM ? Comment from : @ghadaommezzine3065

Thank you very much I have a question @7:55 there is a long-run causal relationship between the variables but which variable cause pce in the long-run? gdp or pdi or jointly? Comment from : @lincoln10

Very simply explained a very effective interpretation Thanks a lot Comment from : @pramodpandey8316

Dr, do the joint causality have same meaning as long run causality ? Comment from : @ifedolaolabisi3015

Dr why i should decrease the lag by one? in my analysis, the var says to use 2 lags however, when i use 2 lags, and the variables are 1(1) and co-integrated, there is no causality among the variables at all; but when i reduce the lag to 1 lag, there is bidirectional causality running from one independent variable to the DV could you please enlighten me? Comment from : @Yasin-bq5pn

Greeting from Zambia Comment from : @patsonshikaaba6357

Hi greeting from Indonesiabrbri am so happy finding your YouTube channel while i am looking for some references about causality on vecm It helps alotbrbrI like your style which is fast but still easy to understandbrbrif you don't mind to answer, i have a question related to this videobrbryou told me that we can find long run causality by looking at ect, if it is negative and significant so it has causality but can we split the causality into two variables?bras on your model there are 3 variables GDP PDI PCE for the long run causality how can we say PDU cause GDP or PCD cause GDP? Comment from : @at4859

CrunchEconometrix Thanks for such a nice video explaining VECM procedure in a well manner I need to ask only one question about "Strong Causality" I saw many papers on this and I have also utilized this strong causality concept in my papers But I do not know the concept of how "ECT and regressors together" can define STRONG causality can you please provide a little explanation and also some references please Comment from : @UsmanAli-kf5ji

thank you so much for making these videos Really appreciated I have one small question, what if the coefficient of my target ECM has a positive sign (30 observation, 7 variables), how to interpret it or is my model wrong? Comment from : @siya7793

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